NDLI: The effects of inactivation of rules for knowledge acquisition

Content Provider	IEEE Xplore Digital Library
Author	Yamamoto, K. Kawanaka, H. Yoshikawa, T. Shinogi, T. Tsuruoka, S.
Copyright Year	2001
Description	Author affiliation: Fac. of Eng., Mie Univ., Tsu, Japan (Yamamoto, K.)
Abstract	A lot of research on knowledge acquisition using genetic algorithms (GA) has been reported. The Pittsburgh approach, which is one of the effective approaches for this problem, evaluates a set of rules according to the movement of the robot. As a result, some of the rules can be meaningless, ineffective, or anomalous while the robot acquired the objective movements. The acquired rules can have low stability for a change of environment. On the other hand, the mechanisms of the biological developmental process from only one egg cell have been investigated in biology. The existence of some of the controlling genes called "homeobox genes" in DNA has been discovered in many animals including human beings. These genes are controlling activation/inactivation of other structural genes as a transcription factor in the developmental process. The biological DNA acquires the indirect design system by these homeobox genes. This paper introduces a part of the mechanism of the homeobox genes, inactivation of other structural genes, into the GA. In this method, each rule can inactivate the other rules as the situation. It is expected that this method is effective, understandable for humans, and has high stability rules. This paper applies this method to the acquisition of control rules for a mobile robot, and studies the effectiveness of this method showing the acquired rules by the simulation.
Starting Page	1322
Ending Page	1326
File Size	507922
Page Count	5
File Format	PDF
ISBN	0780366573
DOI	10.1109/CEC.2001.934344
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge acquisition Cells (biology) DNA Stability Humans Mobile robots Animals Genetic engineering Knowledge engineering Genetic algorithms
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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